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PingOne Advanced Identity Cloud MCP Server

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by pingidentity

Set Environment Variable (ESV)

setVariable
Idempotent

Create or update environment variables in PingOne Advanced Identity Cloud to store configuration values like strings, arrays, objects, booleans, integers, numbers, or lists for identity management workflows.

Instructions

Create or update an environment variable (ESV) in PingOne AIC

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
variableIdYesVariable ID (format: esv-*)
valueNoVariable value as native type (NOT JSON string). Examples: string: 'hello', array: ['a','b'], object: {"key":"val"}, bool: true, int: 42, number: 3.14, list: 'a,b,c'. The tool handles JSON serialization internally for array/object types.
typeYesThe variable type. Determines how the value is interpreted. Note: Type cannot be changed after creation. Ping recommends using 'array' instead of 'list'.
descriptionNoOptional description of the variable's purpose
Behavior4/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations provide idempotentHint and openWorldHint, indicating safe, repeatable operations. The description adds valuable context beyond annotations: it clarifies that the tool handles JSON serialization internally for array/object types and mentions Ping's recommendation to use 'array' over 'list'. No contradiction with annotations exists.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, efficient sentence that front-loads the core purpose without unnecessary details. It could be slightly more structured by explicitly separating creation and update scenarios, but it avoids waste and is appropriately sized for the tool's complexity.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool's moderate complexity, annotations cover safety aspects, and the schema fully describes inputs, the description is reasonably complete. It lacks output details (no output schema provided) and deeper behavioral context like error handling, but it adequately supports tool selection and basic usage.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, so the schema fully documents all parameters. The description adds minimal semantic value beyond the schema, such as noting internal JSON serialization and the type recommendation, but does not significantly enhance parameter understanding. Baseline 3 is appropriate given high schema coverage.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the specific action ('Create or update') and resource ('environment variable (ESV) in PingOne AIC'), distinguishing it from sibling tools like 'deleteVariable' and 'getVariable'. It uses precise terminology that matches the tool's name and title without being tautological.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description implies usage for environment variable management but does not explicitly state when to use this tool versus alternatives like 'deleteVariable' or 'getVariable'. It lacks guidance on prerequisites, exclusions, or specific scenarios, leaving usage context to be inferred from the purpose.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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